What is Log Analysis? Use Cases, Best Practices, and More

Data Security Knowledge Base

What is Log Analysis?

Text

Computers, networks, and other IT systems generate records called audit trail records or logs that document system activities. Log analysis is the evaluation of these records and is used by organizations to help mitigate a variety of risks and meet compliance regulations.

How Does Log Analysis Work?

Text

Logs are usually created by network devices, applications, operating systems, and programmable or smart devices. They comprise of several messages that are chronologically arranged and stored on a disk, in files, or in an application like a log collector.

Analysts need to ensure that the logs consist of a complete range of messages and are interpreted according to context. Log elements should be normalized, using the same terms or terminology, to avoid confusion and provide cohesiveness. For example, one system might use “warning” while another uses “critical.” Making sure terms and data formats are in sync will help ease analysis and reduce error. Normalization also ensures that statistics and reports from different sources are meaningful and accurate.

Once the log data is collected, cleaned, and structured, they can be properly analyzed to detect patterns and anomalies, like network intrusions.

Use Cases for Log Analysis

Log analysis serves several different purposes:

To comply with internal security policies and outside regulations and audits

To understand and respond to data breaches and other security incidents

To troubleshoot systems, computers, or networks

To understand the behaviors of your users

To conduct forensics in the event of an investigation

Text

Some organizations are required to conduct log analysis if they want to be certified as fully compliant to regulations. However, log analysis also helps companies save time when trying to diagnose problems, resolve issues, or manage their infrastructure or applications.

Log Analysis Software

Text

Logs can be generated for just about anything: CDN traffic, database queries, server uptimes, errors, et cetera. Log analysis tools help you extract data from logs and find trends and patterns to guide your business decisions, investigations, and general security. These tools help you make data driven decisions, and are especially useful to system administrators, network administrators, DevOps, security professionals, web developers, and reliability engineers.

Best Practices for Log Analysis

Text

Log analysis is a complex process that should include the following technologies and processes:

Pattern detection and recognition:

to filter messages based on a pattern book. Understanding patterns in your data can help you detect anomalies.

Text

In addition to these technologies and processes, log data should be centralized and structured in meaningful ways so that they can be understood by humans and interpreted by machine learning systems. By aggregating all log data from various sources, you can correlate logs to more easily pinpoint related trends and patterns. Practice end-to-end logging across all system components, including infrastructure, applications, and end user clients, to get a complete overview.

Log analysis is an important function for monitoring and alerting, security policy compliance, auditing and regulatory compliance, security incident response and even forensic investigations. By analyzing log data, enterprises can more readily identify potential threats and other issues, find the root cause, and initiate a rapid response to mitigate risks.